Descriptive Variables Profile

Dataset statistics

Number of variables	30
Number of observations	661
Missing cells	1698
Missing cells (%)	8.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	155.0 KiB
Average record size in memory	240.2 B

Variable types

Categorical	7
Boolean	6
Numeric	17

Alerts

`Code` has a high cardinality: 661 distinct values	High cardinality
`Apgar_1` is highly correlated with `Apgar_5`	High correlation
`Apgar_5` is highly correlated with `Apgar_1`	High correlation
`ADIR_Soc` is highly correlated with `QD_L`	High correlation
`VABS_Com` is highly correlated with `VABS_Soc` and 6 other fields	High correlation
`VABS_Soc` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`VABS_Aut` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_M` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_PS` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_L` is highly correlated with `ADIR_Soc` and 7 other fields	High correlation
`QD_EH` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_R` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`Apgar_1` is highly correlated with `Apgar_5`	High correlation
`Apgar_5` is highly correlated with `Apgar_1`	High correlation
`First_Phrases_Age` is highly correlated with `VABS_Com`	High correlation
`ADIR_Soc` is highly correlated with `QD_L`	High correlation
`VABS_Com` is highly correlated with `First_Phrases_Age` and 7 other fields	High correlation
`VABS_Soc` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`VABS_Aut` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_M` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_PS` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_L` is highly correlated with `ADIR_Soc` and 7 other fields	High correlation
`QD_EH` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_R` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`Apgar_1` is highly correlated with `Apgar_5`	High correlation
`Apgar_5` is highly correlated with `Apgar_1`	High correlation
`VABS_Com` is highly correlated with `VABS_Soc` and 4 other fields	High correlation
`VABS_Soc` is highly correlated with `VABS_Com` and 3 other fields	High correlation
`VABS_Aut` is highly correlated with `VABS_Com` and 1 other fields	High correlation
`QD_M` is highly correlated with `QD_PS` and 1 other fields	High correlation
`QD_PS` is highly correlated with `VABS_Com` and 5 other fields	High correlation
`QD_L` is highly correlated with `VABS_Com` and 4 other fields	High correlation
`QD_EH` is highly correlated with `VABS_Com` and 3 other fields	High correlation
`QD_R` is highly correlated with `QD_M` and 3 other fields	High correlation
`ADIR_quot` is highly correlated with `ADIR_Soc` and 1 other fields	High correlation
`Language_Regr` is highly correlated with `PMD_Regression`	High correlation
`Verbal` is highly correlated with `Diag_Age` and 2 other fields	High correlation
`PMD_Regression` is highly correlated with `Language_Regr`	High correlation
`HC` is highly correlated with `QD_M`	High correlation
`Apgar_1` is highly correlated with `Apgar_5`	High correlation
`Apgar_5` is highly correlated with `Apgar_1`	High correlation
`Diag_Age` is highly correlated with `Verbal`	High correlation
`First_Words_Age` is highly correlated with `First_Phrases_Age`	High correlation
`First_Phrases_Age` is highly correlated with `First_Words_Age` and 4 other fields	High correlation
`ADIR_Soc` is highly correlated with `ADIR_quot` and 3 other fields	High correlation
`ADIR_RRB` is highly correlated with `ADIR_quot`	High correlation
`VABS_Com` is highly correlated with `First_Phrases_Age` and 8 other fields	High correlation
`VABS_Soc` is highly correlated with `First_Phrases_Age` and 7 other fields	High correlation
`VABS_Aut` is highly correlated with `First_Phrases_Age` and 7 other fields	High correlation
`QD_M` is highly correlated with `HC` and 7 other fields	High correlation
`QD_PS` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_L` is highly correlated with `Verbal` and 9 other fields	High correlation
`QD_EH` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`QD_R` is highly correlated with `VABS_Com` and 6 other fields	High correlation
`ADOS_Sev` has 104 (15.7%) missing values	Missing
`ADIR_quot` has 18 (2.7%) missing values	Missing
`Dysmorphysm` has 22 (3.3%) missing values	Missing
`Language_Regr` has 36 (5.4%) missing values	Missing
`Audition` has 23 (3.5%) missing values	Missing
`Vision` has 59 (8.9%) missing values	Missing
`Verbal` has 23 (3.5%) missing values	Missing
`Psyc_Family_Hist` has 13 (2.0%) missing values	Missing
`PMD_Regression` has 42 (6.4%) missing values	Missing
`PMD_Delay` has 19 (2.9%) missing values	Missing
`HC` has 81 (12.3%) missing values	Missing
`Apgar_1` has 179 (27.1%) missing values	Missing
`Apgar_5` has 42 (6.4%) missing values	Missing
`Diag_Age` has 181 (27.4%) missing values	Missing
`First_Words_Age` has 51 (7.7%) missing values	Missing
`First_Phrases_Age` has 158 (23.9%) missing values	Missing
`ADIR_Soc` has 23 (3.5%) missing values	Missing
`ADIR_RRB` has 24 (3.6%) missing values	Missing
`ADIR_AbDev` has 32 (4.8%) missing values	Missing
`VABS_Com` has 137 (20.7%) missing values	Missing
`VABS_Soc` has 135 (20.4%) missing values	Missing
`VABS_Aut` has 137 (20.7%) missing values	Missing
`QD_M` has 33 (5.0%) missing values	Missing
`QD_PS` has 33 (5.0%) missing values	Missing
`QD_L` has 21 (3.2%) missing values	Missing
`QD_EH` has 33 (5.0%) missing values	Missing
`QD_R` has 33 (5.0%) missing values	Missing
`Code` is uniformly distributed	Uniform
`Code` has unique values	Unique
`ADIR_AbDev` has 20 (3.0%) zeros	Zeros
`QD_L` has 12 (1.8%) zeros	Zeros

Reproduction

Analysis started	2022-12-16 17:33:01.799066
Analysis finished	2022-12-16 17:33:44.012865
Duration	42.21 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	661
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.3 KiB

AA1	1
AA650	1
AA705	1
AA548	1
AA561	1
Other values (656)	656

Length

Max length	5
Median length	5
Mean length	4.907715582
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	661 ?
Unique (%)	100.0%

Sample

1st row	AA1
2nd row	AA34
3rd row	AA36
4th row	AA72
5th row	AA91

Common Values

Value	Count	Frequency (%)
AA1	1	0.2%
AA650	1	0.2%
AA705	1	0.2%
AA548	1	0.2%
AA561	1	0.2%
AA566	1	0.2%
AA613	1	0.2%
AA635	1	0.2%
AA583	1	0.2%
AA593	1	0.2%
Other values (651)	651	98.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aa1	1	0.2%
aa166	1	0.2%
aa36	1	0.2%
aa72	1	0.2%
aa91	1	0.2%
aa2	1	0.2%
aa3	1	0.2%
aa6	1	0.2%
aa7	1	0.2%
aa8	1	0.2%
Other values (651)	651	98.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Gender
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.3 KiB

M	586
F	75

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	M
3rd row	M
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
M	586	88.7%
F	75	11.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	586	88.7%
f	75	11.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ADOS_Sev
Categorical

MISSING

Distinct	3
Distinct (%)	0.5%
Missing	104
Missing (%)	15.7%
Memory size	5.3 KiB

Autism	443
ASD	108
Non Spectrum	6

Length

Max length	12
Median length	6
Mean length	5.482944345
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Autism
2nd row	Autism
3rd row	Autism
4th row	Autism
5th row	Autism

Common Values

Value	Count	Frequency (%)
Autism	443	67.0%
ASD	108	16.3%
Non Spectrum	6	0.9%
(Missing)	104	15.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
autism	443	78.7%
asd	108	19.2%
non	6	1.1%
spectrum	6	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ADIR_quot
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	18
Missing (%)	2.7%
Memory size	5.3 KiB

Positive	579
Negative	64

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Positive
2nd row	Positive
3rd row	Positive
4th row	Positive
5th row	Positive

Common Values

Value	Count	Frequency (%)
Positive	579	87.6%
Negative	64	9.7%
(Missing)	18	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
positive	579	90.0%
negative	64	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Dysmorphysm
Boolean

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	22
Missing (%)	3.3%
Memory size	1.4 KiB

False	585
True	54
(Missing)	22

Common Values
Chart

Value	Count	Frequency (%)
False	585	88.5%
True	54	8.2%
(Missing)	22	3.3%

Language_Regr
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	36
Missing (%)	5.4%
Memory size	1.4 KiB

False	550
True	75
(Missing)	36

Common Values
Chart

Value	Count	Frequency (%)
False	550	83.2%
True	75	11.3%
(Missing)	36	5.4%

Audition
Categorical

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	23
Missing (%)	3.5%
Memory size	5.3 KiB

Normal	624
Abnormal	14

Length

Max length	8
Median length	6
Mean length	6.043887147
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Abnormal
4th row	Normal
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	624	94.4%
Abnormal	14	2.1%
(Missing)	23	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	624	97.8%
abnormal	14	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Vision
Categorical

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	59
Missing (%)	8.9%
Memory size	5.3 KiB

Normal	539
Abnormal	63

Length

Max length	8
Median length	6
Mean length	6.209302326
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Normal
4th row	Normal
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	539	81.5%
Abnormal	63	9.5%
(Missing)	59	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	539	89.5%
abnormal	63	10.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Verbal
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	23
Missing (%)	3.5%
Memory size	1.4 KiB

False	364
True	274
(Missing)	23

Common Values
Chart

Value	Count	Frequency (%)
False	364	55.1%
True	274	41.5%
(Missing)	23	3.5%

Psyc_Family_Hist
Boolean

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	13
Missing (%)	2.0%
Memory size	1.4 KiB

False	359
True	289
(Missing)	13

Common Values
Chart

Value	Count	Frequency (%)
False	359	54.3%
True	289	43.7%
(Missing)	13	2.0%

PMD_Regression
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	42
Missing (%)	6.4%
Memory size	1.4 KiB

False	589
True	30
(Missing)	42

Common Values
Chart

Value	Count	Frequency (%)
False	589	89.1%
True	30	4.5%
(Missing)	42	6.4%

PMD_Delay
Boolean

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	19
Missing (%)	2.9%
Memory size	1.4 KiB

True	380
False	262
(Missing)	19

Common Values
Chart

Value	Count	Frequency (%)
True	380	57.5%
False	262	39.6%
(Missing)	19	2.9%

HC
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	56
Distinct (%)	9.7%
Missing	81
Missing (%)	12.3%
Infinite	0
Infinite (%)	0.0%
Mean	34.69672414

Minimum	10
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	10
5-th percentile	32
Q1	34
median	34.5
Q3	35.5
95-th percentile	37
Maximum	75
Range	65
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	3.236072529
Coefficient of variation (CV)	0.09326737927
Kurtosis	89.52121376
Mean	34.69672414
Median Absolute Deviation (MAD)	1
Skewness	6.122048278
Sum	20124.1
Variance	10.47216542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34	92	13.9%
35	91	13.8%
34.5	63	9.5%
36	63	9.5%
35.5	43	6.5%
33	42	6.4%
33.5	31	4.7%
37	22	3.3%
32	15	2.3%
36.5	15	2.3%
Other values (46)	103	15.6%
(Missing)	81	12.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1	0.2%
25	2	0.3%
26	1	0.2%
27.8	1	0.2%
28.5	2	0.3%
29	1	0.2%
29.5	2	0.3%
30	3	0.5%
30.5	2	0.3%
31	7	1.1%

Value	Count	Frequency (%)
75	2	0.3%
51	1	0.2%
50	1	0.2%
39.5	1	0.2%
39	2	0.3%
38.5	2	0.3%
38	6	0.9%
37.8	1	0.2%
37.5	8	1.2%
37.3	1	0.2%

Apgar_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	1.7%
Missing	179
Missing (%)	27.1%
Infinite	0
Infinite (%)	0.0%
Mean	8.560165975

Minimum	3
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	3
5-th percentile	5
Q1	9
median	9
Q3	9
95-th percentile	10
Maximum	10
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.250991446
Coefficient of variation (CV)	0.1461410269
Kurtosis	4.677027637
Mean	8.560165975
Median Absolute Deviation (MAD)	0
Skewness	-2.175051167
Sum	4126
Variance	1.564979598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
9	335	50.7%
8	42	6.4%
10	40	6.1%
7	23	3.5%
6	16	2.4%
5	16	2.4%
4	8	1.2%
3	2	0.3%
(Missing)	179	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	2	0.3%
4	8	1.2%
5	16	2.4%
6	16	2.4%
7	23	3.5%
8	42	6.4%
9	335	50.7%
10	40	6.1%

Value	Count	Frequency (%)
10	40	6.1%
9	335	50.7%
8	42	6.4%
7	23	3.5%
6	16	2.4%
5	16	2.4%
4	8	1.2%
3	2	0.3%

Apgar_5
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.6%
Missing	42
Missing (%)	6.4%
Memory size	5.3 KiB

10.0	542
9.0	50
8.0	21
7.0	6

Length

Max length	4
Median length	4
Mean length	3.875605816
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10.0
2nd row	10.0
3rd row	10.0
4th row	10.0
5th row	10.0

Common Values

Value	Count	Frequency (%)
10.0	542	82.0%
9.0	50	7.6%
8.0	21	3.2%
7.0	6	0.9%
(Missing)	42	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
10.0	542	87.6%
9.0	50	8.1%
8.0	21	3.4%
7.0	6	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Diag_Age
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	1.7%
Missing	181
Missing (%)	27.4%
Infinite	0
Infinite (%)	0.0%
Mean	3.670833333

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	7
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.560198897
Coefficient of variation (CV)	0.4250258062
Kurtosis	0.2416795122
Mean	3.670833333
Median Absolute Deviation (MAD)	1
Skewness	0.8790776438
Sum	1762
Variance	2.434220598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	152	23.0%
2	104	15.7%
4	99	15.0%
5	50	7.6%
6	29	4.4%
7	27	4.1%
8	10	1.5%
1	9	1.4%
(Missing)	181	27.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9	1.4%
2	104	15.7%
3	152	23.0%
4	99	15.0%
5	50	7.6%
6	29	4.4%
7	27	4.1%
8	10	1.5%

Value	Count	Frequency (%)
8	10	1.5%
7	27	4.1%
6	29	4.4%
5	50	7.6%
4	99	15.0%
3	152	23.0%
2	104	15.7%
1	9	1.4%

Walk_Age
Real number (ℝ_≥0)

Distinct	25
Distinct (%)	3.8%
Missing	6
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	14.61755725

Minimum	8
Maximum	44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	8
5-th percentile	11
Q1	12
median	14
Q3	16
95-th percentile	22
Maximum	44
Range	36
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.756838432
Coefficient of variation (CV)	0.2570086347
Kurtosis	9.714428503
Mean	14.61755725
Median Absolute Deviation (MAD)	2
Skewness	2.265653936
Sum	9574.5
Variance	14.113835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
12	124	18.8%
13	94	14.2%
14	93	14.1%
15	78	11.8%
18	65	9.8%
11	47	7.1%
17	35	5.3%
16	34	5.1%
10	16	2.4%
24	14	2.1%
Other values (15)	55	8.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8	2	0.3%
9	13	2.0%
10	16	2.4%
11	47	7.1%
12	124	18.8%
13	94	14.2%
14	93	14.1%
14.5	1	0.2%
15	78	11.8%
16	34	5.1%

Value	Count	Frequency (%)
44	1	0.2%
36	1	0.2%
33	1	0.2%
32	1	0.2%
30	4	0.6%
26	2	0.3%
25	2	0.3%
24	14	2.1%
23	3	0.5%
22	5	0.8%

First_Words_Age
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	6.6%
Missing	51
Missing (%)	7.7%
Infinite	0
Infinite (%)	0.0%
Mean	24.26557377

Minimum	9
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	9
5-th percentile	12
Q1	15
median	24
Q3	30
95-th percentile	48
Maximum	100
Range	91
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.03054248
Coefficient of variation (CV)	0.4957864421
Kurtosis	4.334479007
Mean	24.26557377
Median Absolute Deviation (MAD)	9
Skewness	1.533993287
Sum	14802
Variance	144.7339525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
24	128	19.4%
12	93	14.1%
18	93	14.1%
36	77	11.6%
30	53	8.0%
15	22	3.3%
48	19	2.9%
14	17	2.6%
13	10	1.5%
10	10	1.5%
Other values (30)	88	13.3%
(Missing)	51	7.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	10	1.5%
10	10	1.5%
11	9	1.4%
12	93	14.1%
13	10	1.5%
14	17	2.6%
15	22	3.3%
16	5	0.8%
17	2	0.3%
18	93	14.1%

Value	Count	Frequency (%)
100	1	0.2%
84	1	0.2%
77	1	0.2%
72	2	0.3%
60	9	1.4%
50	2	0.3%
48	19	2.9%
47	1	0.2%
46	1	0.2%
44	1	0.2%

First_Phrases_Age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	39
Distinct (%)	7.8%
Missing	158
Missing (%)	23.9%
Infinite	0
Infinite (%)	0.0%
Mean	44.75347913

Minimum	11
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	11
5-th percentile	24
Q1	36
median	42
Q3	48
95-th percentile	72
Maximum	120
Range	109
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	16.2469385
Coefficient of variation (CV)	0.3630318541
Kurtosis	3.226593863
Mean	44.75347913
Median Absolute Deviation (MAD)	6
Skewness	1.302134189
Sum	22511
Variance	263.9630108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
36	121	18.3%
48	104	15.7%
60	50	7.6%
42	41	6.2%
24	39	5.9%
30	24	3.6%
72	22	3.3%
40	16	2.4%
18	12	1.8%
54	9	1.4%
Other values (29)	65	9.8%
(Missing)	158	23.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	1	0.2%
12	1	0.2%
16	1	0.2%
18	12	1.8%
19	1	0.2%
20	1	0.2%
24	39	5.9%
26	1	0.2%
28	1	0.2%
29	1	0.2%

Value	Count	Frequency (%)
120	3	0.5%
108	1	0.2%
96	7	1.1%
84	7	1.1%
80	1	0.2%
78	1	0.2%
72	22	3.3%
70	2	0.3%
66	2	0.3%
64	1	0.2%

ADIR_Soc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	4.7%
Missing	23
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	18.97335423

Minimum	0
Maximum	30
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	14
median	19
Q3	25
95-th percentile	29
Maximum	30
Range	30
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.519930442
Coefficient of variation (CV)	0.3436361522
Kurtosis	-0.903112607
Mean	18.97335423
Median Absolute Deviation (MAD)	5
Skewness	-0.05696923026
Sum	12105
Variance	42.50949297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
16	41	6.2%
28	37	5.6%
11	37	5.6%
14	36	5.4%
22	35	5.3%
13	34	5.1%
26	34	5.1%
15	32	4.8%
17	32	4.8%
10	31	4.7%
Other values (20)	289	43.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
1	1	0.2%
2	2	0.3%
4	1	0.2%
5	2	0.3%
6	2	0.3%
7	8	1.2%
8	5	0.8%
9	6	0.9%
10	31	4.7%

Value	Count	Frequency (%)
30	29	4.4%
29	16	2.4%
28	37	5.6%
27	15	2.3%
26	34	5.1%
25	30	4.5%
24	30	4.5%
23	28	4.2%
22	35	5.3%
21	24	3.6%

ADIR_RRB
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	2.2%
Missing	24
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.485086342

Minimum	0
Maximum	23
Zeros	6
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	4
Q3	6
95-th percentile	8
Maximum	23
Range	23
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.000435613
Coefficient of variation (CV)	0.4460194209
Kurtosis	11.71046292
Mean	4.485086342
Median Absolute Deviation (MAD)	1
Skewness	1.899872272
Sum	2857
Variance	4.001742642
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	178	26.9%
4	162	24.5%
5	91	13.8%
6	74	11.2%
8	35	5.3%
7	35	5.3%
2	29	4.4%
1	10	1.5%
9	6	0.9%
10	6	0.9%
Other values (4)	11	1.7%
(Missing)	24	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.9%
1	10	1.5%
2	29	4.4%
3	178	26.9%
4	162	24.5%
5	91	13.8%
6	74	11.2%
7	35	5.3%
8	35	5.3%
9	6	0.9%

Value	Count	Frequency (%)
23	1	0.2%
12	2	0.3%
11	2	0.3%
10	6	0.9%
9	6	0.9%
8	35	5.3%
7	35	5.3%
6	74	11.2%
5	91	13.8%
4	162	24.5%

ADIR_AbDev
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	8
Distinct (%)	1.3%
Missing	32
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.027027027

Minimum	0
Maximum	25
Zeros	20
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	5
Maximum	25
Range	25
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.562162341
Coefficient of variation (CV)	0.3879195075
Kurtosis	51.4978199
Mean	4.027027027
Median Absolute Deviation (MAD)	1
Skewness	2.994692219
Sum	2533
Variance	2.440351179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	295	44.6%
4	161	24.4%
3	87	13.2%
2	33	5.0%
1	26	3.9%
0	20	3.0%
6	6	0.9%
25	1	0.2%
(Missing)	32	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20	3.0%
1	26	3.9%
2	33	5.0%
3	87	13.2%
4	161	24.4%
5	295	44.6%
6	6	0.9%
25	1	0.2%

Value	Count	Frequency (%)
25	1	0.2%
6	6	0.9%
5	295	44.6%
4	161	24.4%
3	87	13.2%
2	33	5.0%
1	26	3.9%
0	20	3.0%

VABS_Com
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	92
Distinct (%)	17.6%
Missing	137
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	63.79770992

Minimum	20
Maximum	121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	48
median	65
Q3	80
95-th percentile	96.85
Maximum	121
Range	101
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.34522107
Coefficient of variation (CV)	0.350251147
Kurtosis	-0.6024498023
Mean	63.79770992
Median Absolute Deviation (MAD)	16
Skewness	-0.1881658652
Sum	33430
Variance	499.3089049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	33	5.0%
62	15	2.3%
80	14	2.1%
79	14	2.1%
74	12	1.8%
75	11	1.7%
92	11	1.7%
85	11	1.7%
77	11	1.7%
44	10	1.5%
Other values (82)	382	57.8%
(Missing)	137	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	33	5.0%
21	1	0.2%
24	3	0.5%
25	2	0.3%
26	2	0.3%
27	4	0.6%
28	2	0.3%
29	3	0.5%
30	1	0.2%
31	2	0.3%

Value	Count	Frequency (%)
121	1	0.2%
118	1	0.2%
114	1	0.2%
113	1	0.2%
112	1	0.2%
108	1	0.2%
107	2	0.3%
106	2	0.3%
105	1	0.2%
104	1	0.2%

VABS_Soc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	72
Distinct (%)	13.7%
Missing	135
Missing (%)	20.4%
Infinite	0
Infinite (%)	0.0%
Mean	66.18441065

Minimum	20
Maximum	106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	31
Q1	55
median	67
Q3	78
95-th percentile	94
Maximum	106
Range	86
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	17.54315019
Coefficient of variation (CV)	0.2650646884
Kurtosis	0.4238156378
Mean	66.18441065
Median Absolute Deviation (MAD)	11
Skewness	-0.5099935713
Sum	34813
Variance	307.7621184
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	20	3.0%
78	18	2.7%
58	17	2.6%
69	17	2.6%
71	16	2.4%
68	16	2.4%
64	16	2.4%
52	14	2.1%
66	14	2.1%
73	14	2.1%
Other values (62)	364	55.1%
(Missing)	135	20.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	20	3.0%
22	2	0.3%
24	2	0.3%
28	1	0.2%
31	3	0.5%
34	1	0.2%
35	1	0.2%
36	1	0.2%
38	1	0.2%
40	4	0.6%

Value	Count	Frequency (%)
106	1	0.2%
104	2	0.3%
101	1	0.2%
100	1	0.2%
99	1	0.2%
97	5	0.8%
96	4	0.6%
95	8	1.2%
94	5	0.8%
93	7	1.1%

VABS_Aut
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	76
Distinct (%)	14.5%
Missing	137
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	60.46564885

Minimum	20
Maximum	111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	51
median	63
Q3	75
95-th percentile	87
Maximum	111
Range	91
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	19.40010357
Coefficient of variation (CV)	0.3208450407
Kurtosis	-0.2258103218
Mean	60.46564885
Median Absolute Deviation (MAD)	12
Skewness	-0.5771709256
Sum	31684
Variance	376.3640185
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	44	6.7%
64	19	2.9%
75	17	2.6%
72	15	2.3%
63	15	2.3%
66	14	2.1%
60	14	2.1%
54	14	2.1%
79	13	2.0%
62	13	2.0%
Other values (66)	346	52.3%
(Missing)	137	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	44	6.7%
22	1	0.2%
23	1	0.2%
24	3	0.5%
25	2	0.3%
26	1	0.2%
27	1	0.2%
28	2	0.3%
29	3	0.5%
30	1	0.2%

Value	Count	Frequency (%)
111	1	0.2%
102	1	0.2%
101	1	0.2%
97	2	0.3%
96	1	0.2%
95	2	0.3%
94	1	0.2%
93	1	0.2%
91	4	0.6%
89	4	0.6%

QD_M
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	100
Distinct (%)	15.9%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.17117834

Minimum	28
Maximum	157
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	28
5-th percentile	50
Q1	74
median	89
Q3	101
95-th percentile	118.65
Maximum	157
Range	129
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	20.60147594
Coefficient of variation (CV)	0.2363335718
Kurtosis	0.04931459745
Mean	87.17117834
Median Absolute Deviation (MAD)	13
Skewness	-0.1979370973
Sum	54743.5
Variance	424.4208107
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98	20	3.0%
83	18	2.7%
100	17	2.6%
81	16	2.4%
90	14	2.1%
91	14	2.1%
93	14	2.1%
88	14	2.1%
84	13	2.0%
101	13	2.0%
Other values (90)	475	71.9%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28	1	0.2%
29	1	0.2%
35	3	0.5%
37	1	0.2%
38	2	0.3%
39	1	0.2%
40	2	0.3%
41	2	0.3%
43	6	0.9%
44	1	0.2%

Value	Count	Frequency (%)
157	1	0.2%
151	1	0.2%
139	1	0.2%
135	1	0.2%
133	2	0.3%
132	1	0.2%
130	2	0.3%
129	2	0.3%
128	1	0.2%
127	1	0.2%

QD_PS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	103
Distinct (%)	16.4%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.34872611

Minimum	19
Maximum	161
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	19
5-th percentile	34
Q1	55
median	71
Q3	86
95-th percentile	104
Maximum	161
Range	142
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	22.22794515
Coefficient of variation (CV)	0.3159679837
Kurtosis	0.1057248385
Mean	70.34872611
Median Absolute Deviation (MAD)	16
Skewness	0.1665767107
Sum	44179
Variance	494.0815454
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73	19	2.9%
81	15	2.3%
56	15	2.3%
80	13	2.0%
78	13	2.0%
48	13	2.0%
63	13	2.0%
71	13	2.0%
96	12	1.8%
67	12	1.8%
Other values (93)	490	74.1%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	1	0.2%
21	2	0.3%
22	2	0.3%
23	2	0.3%
23.5	1	0.2%
26	1	0.2%
27	2	0.3%
28	3	0.5%
29	2	0.3%
30	1	0.2%

Value	Count	Frequency (%)
161	1	0.2%
155	1	0.2%
146	1	0.2%
137	1	0.2%
123	1	0.2%
121	1	0.2%
118	1	0.2%
116	1	0.2%
115	1	0.2%
114	2	0.3%

QD_L
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	126
Distinct (%)	19.7%
Missing	21
Missing (%)	3.2%
Infinite	0
Infinite (%)	0.0%
Mean	63.0078125

Minimum	0
Maximum	158
Zeros	12
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	61
Q3	89
95-th percentile	111.05
Maximum	158
Range	158
Interquartile range (IQR)	52

Descriptive statistics

Standard deviation	32.09359993
Coefficient of variation (CV)	0.5093590565
Kurtosis	-0.6938688201
Mean	63.0078125
Median Absolute Deviation (MAD)	26
Skewness	0.202422355
Sum	40325
Variance	1029.999156
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	14	2.1%
76	12	1.8%
0	12	1.8%
50	12	1.8%
61	11	1.7%
92	11	1.7%
42	11	1.7%
72	10	1.5%
79	10	1.5%
44	10	1.5%
Other values (116)	527	79.7%
(Missing)	21	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	1.8%
8	1	0.2%
10	1	0.2%
11	2	0.3%
12	2	0.3%
12.5	1	0.2%
13	4	0.6%
14	2	0.3%
15	2	0.3%
16	1	0.2%

Value	Count	Frequency (%)
158	1	0.2%
152	1	0.2%
150	1	0.2%
149	1	0.2%
144	1	0.2%
140	1	0.2%
138	2	0.3%
136	1	0.2%
131	1	0.2%
128	1	0.2%

QD_EH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	114
Distinct (%)	18.2%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.62340764

Minimum	15
Maximum	150
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	15
5-th percentile	32.35
Q1	54
median	77
Q3	94.25
95-th percentile	113.65
Maximum	150
Range	135
Interquartile range (IQR)	40.25

Descriptive statistics

Standard deviation	25.98411323
Coefficient of variation (CV)	0.3482032521
Kurtosis	-0.619877287
Mean	74.62340764
Median Absolute Deviation (MAD)	20
Skewness	-0.02261952787
Sum	46863.5
Variance	675.1741402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	15	2.3%
92	13	2.0%
100	12	1.8%
81	12	1.8%
57	11	1.7%
101	11	1.7%
72	11	1.7%
108	11	1.7%
76	11	1.7%
44	10	1.5%
Other values (104)	511	77.3%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15	1	0.2%
18	2	0.3%
19	2	0.3%
20	1	0.2%
21	1	0.2%
22	2	0.3%
24	1	0.2%
25	1	0.2%
25.5	1	0.2%
28	5	0.8%

Value	Count	Frequency (%)
150	1	0.2%
149	1	0.2%
144	1	0.2%
140	1	0.2%
135	1	0.2%
133	1	0.2%
130	1	0.2%
129	1	0.2%
128	3	0.5%
127	1	0.2%

QD_R
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	121
Distinct (%)	19.3%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.78264331

Minimum	14
Maximum	166
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	14
5-th percentile	35.35
Q1	61
median	82
Q3	100
95-th percentile	127
Maximum	166
Range	152
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	27.32016976
Coefficient of variation (CV)	0.3340582874
Kurtosis	-0.4271409042
Mean	81.78264331
Median Absolute Deviation (MAD)	19
Skewness	0.05279084141
Sum	51359.5
Variance	746.3916759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72	13	2.0%
81	13	2.0%
82	13	2.0%
89	13	2.0%
78	13	2.0%
100	12	1.8%
92	12	1.8%
84	12	1.8%
80	10	1.5%
96	10	1.5%
Other values (111)	507	76.7%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	1	0.2%
18	1	0.2%
20	1	0.2%
25	2	0.3%
26	2	0.3%
27	1	0.2%
28	3	0.5%
29	1	0.2%
31	2	0.3%
32	4	0.6%

Value	Count	Frequency (%)
166	1	0.2%
155	1	0.2%
150	1	0.2%
148	2	0.3%
143	1	0.2%
142	1	0.2%
140	1	0.2%
138	2	0.3%
137	2	0.3%
136	2	0.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Code	Gender	ADOS_Sev	ADIR_quot	Dysmorphysm	Language_Regr	Audition	Vision	Verbal	Psyc_Family_Hist	PMD_Regression	PMD_Delay	HC	Apgar_1	Apgar_5	Diag_Age	Walk_Age	First_Words_Age	First_Phrases_Age	ADIR_Soc	ADIR_RRB	ADIR_AbDev	VABS_Com	VABS_Soc	VABS_Aut	QD_M	QD_PS	QD_L	QD_EH	QD_R
0	AA1	F	<NA>	Positive	No	No	Normal	Normal	No	Yes	No	Yes	NaN	9.0	10.0	2.0	13.0	12.0	84.0	28.0	9.0	2.0	NaN	NaN	NaN	47.0	35.0	13.0	28.0	38.0
1	AA34	M	<NA>	Positive	No	No	Normal	Normal	No	No	No	Yes	NaN	9.0	10.0	7.0	13.0	NaN	NaN	30.0	8.0	5.0	NaN	NaN	NaN	43.0	27.0	18.0	25.0	31.0
2	AA36	M	<NA>	Positive	No	No	Abnormal	Normal	No	Yes	No	Yes	NaN	NaN	NaN	6.0	24.0	NaN	NaN	30.0	8.0	5.0	NaN	NaN	NaN	52.0	35.0	8.0	31.0	45.0
3	AA72	F	<NA>	Positive	Yes	No	Normal	Normal	No	Yes	No	Yes	NaN	NaN	10.0	NaN	32.0	9.0	36.0	26.0	4.0	5.0	NaN	NaN	NaN	29.0	21.0	23.0	21.0	20.0
4	AA91	M	<NA>	Positive	No	No	Normal	Normal	No	No	Yes	No	NaN	NaN	10.0	6.0	15.0	NaN	NaN	28.0	8.0	4.0	NaN	NaN	NaN	28.0	19.0	11.0	18.0	26.0
5	AA2	M	Autism	Positive	No	No	Normal	Abnormal	No	No	No	Yes	34.0	9.0	10.0	3.0	13.0	18.0	NaN	27.0	4.0	1.0	20.0	20.0	20.0	71.0	43.0	30.0	38.0	42.0
6	AA3	F	Autism	Positive	Yes	No	Normal	Normal	Yes	No	No	Yes	NaN	NaN	10.0	4.0	18.0	36.0	42.0	30.0	5.0	3.0	NaN	NaN	NaN	62.0	38.0	28.0	47.0	38.0
7	AA6	M	Autism	Positive	No	No	Normal	Normal	Yes	Yes	No	Yes	33.8	9.0	10.0	3.0	14.0	18.0	36.0	13.0	3.0	4.0	40.0	50.0	54.0	93.0	87.0	74.0	55.0	84.0
8	AA7	M	Autism	Positive	No	No	Normal	Normal	No	Yes	No	Yes	34.5	8.0	8.0	3.0	14.0	36.0	NaN	24.0	4.0	3.0	20.0	41.0	20.0	97.0	70.0	39.0	51.0	80.0
9	AA8	M	<NA>	Positive	No	No	Normal	Normal	No	Yes	No	Yes	35.4	NaN	10.0	5.0	13.0	18.0	48.0	29.0	4.0	5.0	NaN	NaN	NaN	43.0	29.0	22.0	29.0	14.0

Last rows

	Code	Gender	ADOS_Sev	ADIR_quot	Dysmorphysm	Language_Regr	Audition	Vision	Verbal	Psyc_Family_Hist	PMD_Regression	PMD_Delay	HC	Apgar_1	Apgar_5	Diag_Age	Walk_Age	First_Words_Age	First_Phrases_Age	ADIR_Soc	ADIR_RRB	ADIR_AbDev	VABS_Com	VABS_Soc	VABS_Aut	QD_M	QD_PS	QD_L	QD_EH	QD_R
651	AA906	M	Autism	Positive	No	Yes	Normal	Normal	No	No	No	No	35.0	9.0	10.0	NaN	14.0	15.0	NaN	21.0	5.0	5.0	62.0	66.0	58.0	NaN	NaN	0.0	NaN	NaN
652	AA903	M	Autism	Negative	No	Yes	<NA>	<NA>	No	No	No	No	34.0	9.0	10.0	NaN	14.0	14.0	NaN	9.0	5.0	2.0	NaN	NaN	NaN	88.0	58.0	35.0	63.0	100.0
653	AA900	M	Non Spectrum	Positive	No	Yes	<NA>	<NA>	Yes	Yes	No	No	NaN	9.0	10.0	NaN	12.0	12.0	24.0	11.0	3.0	5.0	NaN	NaN	NaN	89.0	78.0	47.0	92.0	78.0
654	AA922	M	ASD	Negative	NaN	Yes	<NA>	<NA>	No	No	Yes	No	34.5	10.0	10.0	NaN	NaN	18.0	NaN	7.0	5.0	4.0	69.0	72.0	69.0	98.0	90.0	95.0	92.0	95.0
655	AA904	M	Autism	<NA>	No	No	Normal	Normal	<NA>	No	No	NaN	32.5	9.0	10.0	NaN	11.0	24.0	42.0	NaN	NaN	NaN	66.0	68.0	67.0	73.0	52.0	42.0	69.0	69.0
656	AA927	M	<NA>	Positive	No	Yes	Normal	Normal	<NA>	Yes	Yes	Yes	36.0	9.0	10.0	NaN	13.0	11.0	24.0	NaN	NaN	NaN	79.0	74.0	79.0	76.0	55.0	84.0	81.0	84.0
657	AA938	M	Autism	Positive	NaN	No	<NA>	<NA>	No	Yes	No	No	NaN	NaN	NaN	NaN	16.0	36.0	60.0	11.0	3.0	NaN	78.0	68.0	77.0	97.0	73.0	65.0	77.0	97.0
658	AA934	M	Autism	Positive	No	Yes	Normal	Normal	Yes	No	No	Yes	34.5	9.0	10.0	NaN	15.0	12.0	NaN	10.0	3.0	25.0	47.0	63.0	55.0	58.0	40.0	20.0	31.0	34.0
659	AA942	M	ASD	Positive	No	No	<NA>	<NA>	<NA>	No	No	NaN	34.5	9.0	10.0	NaN	16.0	36.0	NaN	NaN	NaN	NaN	63.0	77.0	69.0	115.0	85.0	47.0	89.0	85.0
660	AA837	M	Autism	Positive	No	No	Normal	Normal	No	No	No	No	34.5	10.0	10.0	NaN	15.0	24.0	48.0	15.0	3.0	5.0	72.0	59.0	58.0	80.0	62.0	64.0	83.0	83.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample